AIMC Topic: Colon

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D-CryptO: deep learning-based analysis of colon organoid morphology from brightfield images.

Lab on a chip
Stem cell-derived organoids are a promising tool to model native human tissues as they resemble human organs functionally and structurally compared to traditional monolayer cell-based assays. For instance, colon organoids can spontaneously develop cr...

New endoscopic tools in inflammatory bowel disease.

United European gastroenterology journal
Endoscopic remission is now considered the ultimate long-term goal for treating inflammatory bowel disease (IBD). Recent advances in endoscopic techniques have progressively added new tools to the armamentarium of endoscopists for a deeper assessment...

Acute colonic flexures: the basis for developing an artificial intelligence-based tool for predicting the course of colonoscopy.

Anatomical science international
Tortuosity of the colon is an important parameter for predicting the course of colonoscopy. Computed tomography scans of the abdominal cavity were performed in 224 (94 female, 130 male) adult subjects. The number of acute (angle not exceeding 90°) be...

Deep learning-based approach to the characterization and quantification of histopathology in mouse models of colitis.

PloS one
Inflammatory bowel disease (IBD) is a chronic immune-mediated disease of the gastrointestinal tract. While therapies exist, response can be limited within the patient population. Researchers have thus studied mouse models of colitis to further unders...

Robotic colon surgery in obese patients: a systematic review and meta-analysis.

ANZ journal of surgery
BACKGROUND: Colon cancer resection can be technically difficult in the obese (OB) population. Robotic surgery is a promising technique but its benefits remain uncertain in OB patients. The aim of this study is to compare OB versus non-obese (NOB) pat...

Discriminative error prediction network for semi-supervised colon gland segmentation.

Medical image analysis
Pixel-wise error correction of initial segmentation results provides an effective way for quality improvement. The additional error segmentation network learns to identify correct predictions and incorrect ones. The performance on error segmentation ...

Protection against ulcerative colitis and colorectal cancer by evodiamine via anti‑inflammatory effects.

Molecular medicine reports
Evodiamine (Evo) is an alkaloid that can be extracted from the berry fruit and has been reported to exert various pharmacological effects, such as antidiarrheal, antiemetic and antiulcer effects. , the potential effects of Evo were investigated in a...

Deep Learning Analysis of Histologic Images from Intestinal Specimen Reveals Adipocyte Shrinkage and Mast Cell Infiltration to Predict Postoperative Crohn Disease.

The American journal of pathology
Most patients with Crohn disease (CD), a chronic inflammatory gastrointestinal disease, experience recurrence despite treatment, including surgical resection. However, methods for predicting recurrence remain unclear. This study aimed to predict post...

Colon tissue image segmentation with MWSI-NET.

Medical & biological engineering & computing
Developments in deep learning have resulted in computer-aided diagnosis for many types of cancer. Previously, pathologists manually performed the labeling work in the analysis of colon tissues, which is both time-consuming and labor-intensive. Result...